On optimal treatment regimes assisted by algorithms

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• Mats Stensrud (EPFL)
• Friday 18 October 2024, 14:00-15:00
• Centre for Mathematical Sciences MR12, CMS.

If you have a question about this talk, please contact Qingyuan Zhao.

Decision makers desire to implement decision rules that, when applied to individuals in the population of interest, yield the best possible outcomes. For example, the current focus on precision medicine reflects the search for individualized treatment decisions, adapted to a patient’s characteristics. In this presentation, I will consider how to formulate, choose and estimate effects that guide individualized treatment decisions. In particular, I will introduce a class of regimes that are guaranteed to outperform conventional optimal regimes in settings with unmeasured confounding. I will further consider how to identify or bound these “superoptimal” regimes and their values. The performance of the superoptimal regimes will be illustrated in two examples from medicine and economics.

This talk is part of the Statistics series.

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